International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 65 - Number 18 |
Year of Publication: 2013 |
Authors: Sanjivani Shantaiya, Keshri Verma, Kamal Mehta |
10.5120/11023-5140 |
Sanjivani Shantaiya, Keshri Verma, Kamal Mehta . A Survey on Approaches of Object Detection. International Journal of Computer Applications. 65, 18 ( March 2013), 14-20. DOI=10.5120/11023-5140
This research paper presents the extensive survey of the state-of-the-art detection of object from video and also classifies the detection approaches into different categories. Detection is generally performed in the context of higher-level applications that require the location and/or shape of the object in every frame. As the detection of objects from vide have progressed significantly in the past few years; human motion and behavior interpretation have naturally become the upcoming step. The research paper includes various approaches that have been used by different researchers for object detection.